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7/27/2019 OJC Slides 1 09
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Osler Journal Club: The Cohort Study
Gu et al. NEJM 2009; 360 (2): 150-9
,Esteemed Moderator: J. Hunter Young, MD MHS
Discussants: Janice Leung, MD Chris Kanakry, MS3
Peter Leary, MD Michael Grunwald, MD
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e o or u y
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the basis of exposure
development of outcome
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Generic Pros and Cons of the
ohort tudy
Time based study allowsspeculation of causality (Note
Expensive Time consuming and vast
control)
Observational nature allows
Not randomized/clean
(i.e. toxic exposures often
group together and health care
Can study multiple outcomes
of a specific exposure
Not good for rare diseases or
outcomes with a long natural
Can Study rare exposures Attrition
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Why China why smoking why
this article?While smoking is on the decline in the
western world, the smoking epidemic isin the early stages in developing countries.
tobacco has been described as the #1
public health issue/crisis in China, but the
screening and populations is still not fullyknown.
about smoking as a whole, the authorssought to apply a much needed filter of
.
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carried out in all 30 provinces Multi-stage design of random cluster sampling
designed to get a nationally representative sample of
the Chinese general population > 15 yo .
1999-2000 follow-up study
study subjects
2 provinces did not have smoking data
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15 remaining provinces were evenly distributed in
eren geograp c reg ons an represen e var ouslevels of economic development in China
15 included provinces were similar to 15 excludedprov nces: Age: 55.9 yo vs. 55.3 yo
High school education: 24.0% vs. 23.4% . . .
Physical inactivity: 37.0% vs. 36.6%
Cigarette smoking history: 37.9% vs. 36.7%
, 76,134 men, 78,997 women 144,088 (92.9%) successful follow-up and inclusion in study
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Single clinic visit by physician or nurse
Standardized methods with stringent quality control
Standard questionaire to gather data on demographic
characteristics, medical history, and lifestyle risk
Tobacco smoking definition: 1 cig/day x 1 year
Height, weight, BMI, three BP measurements, work
related physical activity all assessed
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- 1999-2000 follow-up
Tracked subjects or next-of-kin to current address
In-depth interviews to ascertain disease status and informationregarding health/death
,
For deaths: information obtained from others:
Family (75%), PCP (12.6%), Other health care providers (3.8%),Employers, relatives, or friends (8.5%)
If patient died in hospital, MR obtained including: Medical history, PE, labs, autopsy findings, final diagnosis
Photocopies made of selected sections of medical records
,from family or health care provider
98.6% of deaths were verified by death certificate and/or medicalrecords
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- -
Reviewed medical history information anddeath certificates to determine final underlyingcause of death with prespecified criteria
Two committee members indepedently verified
Discrepancies adjudicated by discussion involvingadditional committee members
Committee members blinded to subjects smokinghistory and other baseline characteristics
Causes of death coded accordin to ICD-9
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ethics committee at Cardiovascular
Written informed consent obtained from all-
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Age-standardized mortality was calculated- -
mortality and age distribution of the
Chinese population using 2000 censusdata
Relative risks calculated for subjects who
had ever smoked compared with lifelongnonsmokers as reference
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- -
for a variety of covariables: Baseline age, level of education, alcohol
consumption, level of physical activity, presence of
hypertension, being overweight, self-reported
, ,
urbanization
Dose-response relationship of smoking
measured by stratifying smokers into 3 groups: 30.3 PYH
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Multivariable-adjusted relative risks of death associated
with smoking were obtained stratified by level ofurbanization (urban vs. rural), sex, and age (40-54, 55-64, 65 These estimates used to calculate the population attributable risk
(PAR) and 95% CIs for each subgroup using the following
standard equation (P = proportion of smokers, RR = relativer s :
PAR = (P x [RR-1] (P x [RR 1] + 1)
Overall relative risks or population attributable risks of death
the Chinese population in 2005
All p-values were two-sided and not adjusted for multiple
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Results
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Baseline Characteristics
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Dose-Related Response
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Population Attributable Risk
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Disease-Specific Risk
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Conclusions
e resu s o s s u y nvo v ng anationally representative sample of
smoking is a major preventable cause.
There was a significant, dose-
-years smoked and death.
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Conclusions
e num er o ea s a r u a e osmoking was much greater among
.
Lung cancer was the leading cause of.
COPD was the leading cause of death
r u w .
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Discussion
esu s are rou esome ecause e
prevalence of tobacco smoking has
in China.
in China has been dropping during
.
Chin Med J (Engl) 1987; 100:886-92.
Zhonghua Liu Xing Bing Xue Za Zhi 2005; 26:77-83
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Discussion
n e s u es n es ern
populations, this study shows that the
were similar among former and.
Smoking cessation has been relatively
. Most smokers quit because of chronic
.
JAMA 2008; 299:2037-47
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Discussion
risk associated with smoking than did
The magnitude of the relative risks
robabl reflects the lower numbersof cigarettes smoked in the past andthe later age of smoking initiation in
u urr y y rsmoking-related diseases.
Tobacco control policy analysis in China: economics and health.
Singapore: World Scientific Publishing 2008: 13-31.
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Study Limitations
by questionnaire, there may have
smoking exposure.
Hos ital records were available for71% of subjects who died.Therefore, the classification of cause
y ur rsubjects without hospital records.
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Study Limitations
e mor a y o ow-up was
conducted during the 1990s, which
and disease burden at that time.
- ,cancer and cardiovascular disease,
death in China. Therefore, the studyma underestimate current deathsattributable to smoking.
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Study Limitations
esp e e a us men or severa
potentially confounding factors in the,
nonsmokers may still differ with
contribute to disease risk.
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Study Limitations
e au ors es ma e e num er o
deaths attributable to smoking, not
prevented by smoking cessation.
exposure to smoking.